Research
Design repeatable tests and evaluate the limits of forensic methods and synthetic evidence.
Test the claim, not just the tool
Research becomes useful to an examiner when another person can identify the inputs, repeat the method, and understand the boundaries of the result. A tool's successful execution is not a validation result. Record expected behavior before examining the output.
- Design a small forensic validation study
An original protocol for controls, known inputs, independent checks, and reproducibility.
- Provenance and detector limits
Separate assertions, bindings, detector scores, and a conclusion about origin.
- NIST Computer Forensics Tool Testing
Primary test-method and tool-report resource; select a report relevant to the feature and version.
- Synthetic Forensics: provenance and authenticity
Project-authored orientation to origin and transformation claims, with its own sources and limits.
Human interpretation and source monitoring
A witness's account and a digital artifact are different sources with different failure modes. The source-monitoring research guide discusses distinctions relevant to human-AI interaction. Synthetic Imprinting is a proposed framework about lasting influence from generated or simulated experiences. The proposal is not an established forensic finding, a clinical diagnosis, or proof that an effect occurred in a witness.
What is original here?
The study-design and interpretation guides are editorial syntheses, not reports of completed experiments. No benchmark dataset, measured error rate, or new psychological effect is claimed. A future experimental report should publish its protocol, permissible inputs, results, and revision history separately.
Detailed references in this section
- Cross-platform
Design a small forensic validation studyUse known inputs, discriminating controls, and a reproducible record to test one bounded claim.
- Cross-platform
Provenance, detector scores, and the limits of an origin claimDistinguish a recorded history from a statistical signal and from proof of authenticity.
- Cross-platform
Resolve disagreement between forensic toolsReduce a conflict to a specific input, transformation, field, and interpretation.
- Cross-platform research
Design a blinded validation with inspectable ground truthSeparate dataset construction, expected answers, examiner exposure, and adjudication.
- Cross-platform research
Read sampling and error rates without losing the denominatorDistinguish false-positive rate, precision, repeated trials, and operational prevalence.
- Cross-platform research
Package a reproducible forensic research bundleMake the input-to-conclusion path reviewable without exposing protected case data.
- Cross-platform
Report uncertainty where it affects the conclusionConnect source gaps, method limits, and competing explanations to specific findings.
- Cross-platform evidence review
Evidence integrity, authenticity, completeness, and chain of custodyUse four separate questions to explain what a hash comparison and a handling record actually establish.
